The effects of students' backgrounds and attitudes on computer skills in Malaysia

Daud, Norzaidi Mohd; Chong, Siong Choy; Azizah, Aris; Mohamed, Intan Salwani; Kamarudin, Rafidah; Zainuddin, Ruhana

doi:10.1504/ijmie.2007.015198

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…Corroborating Goodhue and Thompson (1995), Norzaidi et al (2007a, 2008a) and Norzaidi and Intan Salwani (2008a) findings, this paper imparts further empirical support that task‐technology fit has significant relationships with the intranet usage. Correspondingly, empirical support was also provided for the results between the intranet usage and students' performance.…”

Section: Discussion and Practical Implementationssupporting

confidence: 64%

“…However, there are a few studies that concentrate on task‐technology fit and managerial performance. For example, Norzaidi et al 's (2007a, b), study on the impact of intranet usage on middle managers' performance. The study was conducted on 357 middle managers from various organizations in the Malaysian port industry.…”

Section: Task‐technology Fit (Ttf) and Internet Usagementioning

confidence: 99%

“…Use of the internet to support learning and teaching is growing exponentially as more and more educational organisations are recognising the potential that it offers (Jefferries and Hussain, 1998; Norzaidi et al , 2007a, b). From the internet, students would simply gather variety of latest information that is useful for their assignments.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating technology resistance and technology satisfaction on students' performance

Daud

Mohamed

2009

Campus-Wide Information Systems

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PurposeUsing the extended task‐technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance.Design/methodology/approachThe study was conducted at Universiti Teknologi MARA, Johor, Malaysia and questionnaires were distributed to 354 undergraduate students.FindingsThe structural equation modelling (SEM) results indicate that technology satisfaction and the internet usage significantly explains the variance on students' performance. Task‐technology fit is not a predictor of technology resistance but it does predict the internet usage. The internet usage has greater impact on technology satisfaction than technology satisfaction on the internet usage. Finally, technology resistance is not a predictor of students' performance.Research limitations/implicationsThe study focuses only on education in Malaysia and concentrates only on the students' performance and the relationship between technology resistance, technology satisfaction and the internet usage.Practical implicationsThe results provide insights on how Malaysian education systems of a similar structure could improve upon their internet adoption.Originality/valueThis study is perhaps one of the first to address internet adoption in education using an extended task‐technology fit model (task‐technology fit, internet usage, technology resistance, technology satisfaction) to investigate their influences on students' performance.

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Section: Discussion and Practical Implementationssupporting

confidence: 64%

Section: Task‐technology Fit (Ttf) and Internet Usagementioning

confidence: 99%

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Evaluating technology resistance and technology satisfaction on students' performance

Daud

Mohamed

2009

Campus-Wide Information Systems

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“…This scenario occurs when the online education platform is incompatible with a computer or an iPad. This condition complicates their ability to follow in class and adds to stress [19,20,25]. Finally, students' performance on quizzes, mid-term tests, and final examinations will be subpar.…”

Section: Poor Systems Design and Technology Resistancementioning

confidence: 99%

“…Thus, training has been connected to the issue of implementing innovative technologies. The authors discovered during a pre-study that students do not receive any technology training [12,25]. If they do, they receive training only once or twice a year.…”

Section: Figure 2 the Final Model Of A Studymentioning

confidence: 99%

The Impact of Transformation in Higher Education

Daud

2023

JIOS

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This study examines the impact of transformation in higher education, in particular onthe introduction of new technology to students in Malaysia. This study is unique as itfocuses on usage and technology resistance. Another uniqueness of the study is thattechnology resistance is measured by non-technology and post-technology antecedents,which have yet to be discovered by existing studies. These factors could potentiallyinfluence students to refrain from using technology in their studies, as many previousstudies only focus on usage. Furthermore, prior research should have classifieddifferent types of resistance that cause significant knowledge gaps in technologyeducation. A survey of 156 respondents concluded that antecedents of non-technologyusage do lead to resistance. Post-technology usage, similarly, does influence resistance.As expected, the usage of technology influenced students' performances. Finally,resistance to technology did not affect students' performance. This is likely the firststudy to examine the impact of transformation in education and classify the antecedentsof technology resistance into two categories: non-technology usage and posttechnologyusage. This research will help policymakers understand how students reactto educational transformations. Adding technology could improve how well studentsdo in university, but it could also hurt how well they do in university.

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Mediated Effects of Technology Competencies and Experiences on Relations among Attitudes Towards Technology Use, Technology Ownership, and Self Efficacy about Technological Pedagogical Content Knowledge

2017

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The effects of students' backgrounds and attitudes on computer skills in Malaysia

Cited by 8 publications

References 28 publications

Evaluating technology resistance and technology satisfaction on students' performance

Evaluating technology resistance and technology satisfaction on students' performance

The Impact of Transformation in Higher Education

Mediated Effects of Technology Competencies and Experiences on Relations among Attitudes Towards Technology Use, Technology Ownership, and Self Efficacy about Technological Pedagogical Content Knowledge

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